Data Scientist: Build & Deploy AI that Drives Strategy

Total Quality Logistics

Cincinnati (AR)

On-site

USD 110,000 - 140,000

Full time

13 days ago

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Benefits offered by this job

Analytics ownership
High-impact problems
ML architecture exposure
Cross-functional teamwork
Benefits: health/dental/vision + 401(k

Job summary

Total Quality Logistics (TQL) is seeking a Data Scientist to design, build, and deploy advanced analytics and machine learning solutions that support business decisions. You will own projects end-to-end—from problem definition to production deployment—ensuring scalable, reliable, and impactful outcomes.

The role offers ownership of meaningful analytics, exposure to modern ML architecture, collaboration with cross-functional teams, and a comprehensive benefits package including health, dental,

Qualifications

  • Advanced degree preferred or equivalent experience.
  • 3–5 years of professional data science or machine learning experience.
  • Strong proficiency in Python and ML libraries.
  • Experience with cloud platforms and scalable data systems.
  • Familiarity with multiple modeling techniques.
  • Strong communication skills.

Responsibilities

  • Developing and deploying predictive, prescriptive, and inferential models.
  • Translating ambiguous business problems into analytical solutions.
  • Building and maintaining Python-based ML pipelines in cloud environments.
  • Working with structured and unstructured data.
  • Monitoring model performance and data drift.
  • Improving shared tools, frameworks, and best practices.
  • Communicating insights and recommendations to stakeholders.

Skills

Python
ML libraries
Communication
Cloud platforms
Modeling techniques

Education

Advanced degree preferred or equivalent experience

Job description

Total Quality Logistics (TQL) is seeking a Data Scientist to design, build, and deploy advanced analytics and machine learning solutions that support business decisions. You will own projects end-to-end—from problem definition to production deployment—ensuring scalable, reliable, and impactful outcomes.

The role offers ownership of meaningful analytics, exposure to modern ML architecture, collaboration with cross-functional teams, and a comprehensive benefits package including health, dental,

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